DocumentCode :
2106245
Title :
Fuzzy adaptive approach to nonlinear systems control
Author :
Golea, Noureddine ; Golea, Amar ; Boumehrez, Mohamed ; Kadjoudj, Mohamed
Author_Institution :
E.E. Inst., O.E.B Univ., Algeria
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
782
Abstract :
We consider a direct fuzzy adaptive control of continuous-time nonlinear systems. The proposed adaptive scheme uses a Takagi-Sugeno (TS) fuzzy controller, which allows the inclusion of a priori information in terms of qualitative knowledge about the plant operating points or analytical conventional regulators for those operating points. The closed loop dynamic is proven to be asymptotically stable, and robust against external disturbance and approximation error. The proposed approach performance is evaluated on an induction motor control problem
Keywords :
adaptive control; closed loop systems; continuous time systems; fuzzy control; induction motors; machine control; nonlinear control systems; Takagi-Sugeno fuzzy controller; analytical conventional regulators; approximation error; closed loop dynamic; continuous-time nonlinear systems; direct fuzzy adaptive control; external disturbance; induction motor control problem; nonlinear systems control; plant operating points; qualitative knowledge; robustness; Adaptive control; Adaptive systems; Control systems; Fuzzy control; Fuzzy systems; Information analysis; Nonlinear control systems; Nonlinear systems; Programmable control; Takagi-Sugeno model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-7108-9
Type :
conf
DOI :
10.1109/IECON.2001.976714
Filename :
976714
Link To Document :
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